Senior Data Solution Architect

🔥 3 minutes ago

🇺🇸 United States – Remote

💵 $155k - $160k / year

⏰ Full Time

🟠 Senior

💻 Solutions Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 0%

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Owens & Minor

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1882

📦 Logistics

💼 Consulting

🏥 Healthcare

💰 Post-IPO Debt on 2022-03

Logistics • Consulting • Healthcare

Owens & Minor is a global healthcare solutions company that provides essential products and services to support care from the hospital to the home. The company specializes in healthcare logistics, inventory management, supply chain solutions, and infection prevention. It offers logistics solutions to reduce costs and eliminate complexities for both acute and non-acute healthcare settings. Owens & Minor is also involved in consulting, helping improve healthcare supply chains and partnerships. The company is dedicated to empowering healthcare providers and serving patients, manufacturers, and communities with its range of products and services.

📋 Description

• Design end-to-end enterprise data and AI solution architectures • Define architecture patterns for data ingestion, transformation, storage, analytics, machine learning, and generative AI use cases • Establish scalable and reusable architecture standards across platforms and technologies • Lead technical evaluations and recommendations for data, AI, and integration technologies • Contribute to the design and implementation of enterprise data and AI solutions • Develop prototypes, proofs of concept, and reference implementations • Partner with engineering teams to solve complex technical challenges and remove delivery roadblocks • Perform hands-on architecture validation, solution reviews, and technical troubleshooting throughout the software delivery lifecycle • Provide architectural leadership across cloud platforms, data engineering, integration, automation, AI, and DevOps • Maintain hands-on expertise with Snowflake, Azure, Databricks, Microsoft Fabric, AI platforms, and integration frameworks • Provide architectural oversight for strategic initiatives and major technology investments • Lead design reviews and ensure adherence to enterprise architecture standards • Collaborate with engineering teams to translate architectural designs into implementable solutions • Establish architectural governance frameworks for data and AI solutions • Ensure alignment with privacy, security, regulatory, and compliance requirements • Define standards for data lineage, metadata management, model governance, and AI transparency • Identify and mitigate architectural, operational, and cybersecurity risks • Maintain architecture documentation, reference models, and technical standards • Develop executive-level architecture presentations and recommendations • Communicate technical concepts to technical and non-technical audiences • Present architecture roadmaps, risks, trade-offs, and investment recommendations • Provide updates on strategic initiatives, architecture reviews, and innovation opportunities • Create and execute a roadmap for AI-based self-serve analytics • Increase adoption of enterprise data platforms and AI capabilities • Improve consistency and governance across data and analytics ecosystems • Demonstrate measurable business value from AI and advanced analytics initiatives • Reduce architectural complexity through standardization and modernization • Build credibility with engineering teams through technical leadership and direct contribution to solution delivery

🎯 Requirements

• Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, or related field • Equivalent combination of education and experience may be considered • 10+ years of experience in data architecture, enterprise architecture, analytics platforms, or software engineering • 3+ years of experience designing AI, machine learning, or advanced analytics solutions • Experience defining Enterprise AI strategies and governance programs • Experience with Generative AI, LLMs, RAG architectures, AI agents, and AI orchestration frameworks • Demonstrated success leading complex enterprise technology initiatives • Experience working across multiple business functions and stakeholder groups • Experience with cloud-native architecture and modern data platforms • Experience leading large-scale cloud transformation initiatives • Required hands-on experience with data architecture and modeling • Required experience with data warehousing and lakehouse architecture • Required experience with data integration and ETL/ELT architecture • Experience with cloud platforms, with Azure preferred • Experience with Snowflake • Hands-on experience with at least one or more of Claude Enterprise, OpenAI/Azure OpenAI, or Cortex • Experience with Microsoft Fabric • Semantic Model creation • Experience with MLOps and AI governance platforms • Experience with Power BI • Experience with Master Data Management • Experience with API and event-driven architectures • Experience with data governance and metadata management • Python • DevOps and CI/CD • Informatica IDMC • SQL and data engineering concepts • Enterprise solution architecture • AI and machine learning fundamentals • Preferred: Master's degree in Computer Science, Data Science, Artificial Intelligence, Information Systems, or related field • Preferred experience in healthcare, distribution, supply chain, or regulated industries • Preferred certifications: Snowflake SnowPro Advanced, Microsoft Azure Solutions Architect Expert, Microsoft Azure AI Engineer Associate, Databricks Data Engineer or Data Architect, AWS Certified Solutions Architect, or TOGAF • Preferred experience with Databricks, vector databases and semantic search, RAG architecture design, and knowledge graphs

🏖️ Benefits

• Comprehensive healthcare plan including medical, dental, and vision plans starting on day one for full-time teammates • Educational assistance for eligible teammates enrolled in an approved, accredited collegiate program • Employer-paid life insurance and disability coverage • Voluntary supplemental life, hospitalization, critical illness, and other insurance programs • Adoption assistance • Fertility benefits through the medical plan • Parental leave • Health Savings Account (HSA) • 401(k) • Paid sick days, short-term leave, holidays, vacation days, personal days, and additional types of leave • Teammate Assistance Program (TAP) • Calm Health • Cancer Resources Services • Discount programs